I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Using Machine Learning to Construct a Simplified Scale for ..:
, In:
2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
,
Yuan, Meng
;
Yang, Jun
- p. 735-739 , 2024
Link:
https://doi.org/10.1109/ICAACE61206.2024.10549581
RT T1 <cTitle>2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)</cTitle>: T1 <Title>Using Machine Learning to Construct a Simplified Scale for Assessing Mental Status Among Undergraduates</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10549581&Exemplar=1&LAN=DE A1 Yuan, Meng A1 Yang, Jun YR 2024 K1 Machine learning algorithms K1 Control engineering K1 Termination of employment K1 Machine learning K1 Mental health K1 Feature extraction K1 Reliability K1 mental health K1 machine learning K1 mRMR K1 scale simplification SP 735 OP 739 LK http://dx.doi.org/https://doi.org/10.1109/ICAACE61206.2024.10549581 DO https://doi.org/10.1109/ICAACE61206.2024.10549581 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
